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Among many methods in tumor treatment, ultrasound hyperthermia is characterized by non-invasiveness, and it has been proven very effective for clinical treatment. But the problem of monitoring temperature limits its development. MRI-based temperature mapping techniques are safe compared with invasive methods and have been applied to detect temperature changes for a variety of applications. Among these techniques, the proton resonance frequency (PRF) method is relatively advanced. With a temperature measuring experiment and experiment conducted on tumors inside rabbit legs, the effectiveness of PRF method has been proved. This paper is to introduce an MRI guided ultrasound superficial tumor hyperthermia instrument based on PRF method.

The research made use of the heat property and explored the distribution of focused ultrasound field. In our experiments, we measured the distribution of heat sources, and then, calculated the distribution of focused ultrasound field via a liner relation. In the experiments, we got a series of infrared images with noise. It’s such an important thing to find out a solution to get rid of the noise in those images in order to get an accurate focused ultrasound field distribution. So the investigation following is focused in finding out a filter which can remove most noise in the infrared charts and the distribution of ultrasound filed is not impacted. Experiments compared the effects of different filters by the index of - 6dB width of the temperature rise images. By this index, we can find out a filter which is the most suitable filter for keeping the distribution of focused ultrasound field in steady. All experiments, including simulations, semi-simulations and actual verification experiments used six filters to deal with the raw data to get -6dB width and signal to noise ratio. From the results of experiments, we drew a conclusion that gauss filter is the best to keep the distribution of focused ultrasound field in steady.The research made use of the heat property and explored the distribution of focused ultrasound field. In our experiments, we measured the distribution of heat sources, and then, calculated the distribution of focused ultrasound field via a liner relation. In the experiments, we got a series of infrared images with noise. It’s such an important thing to find out a solution to get rid of the noise in those images in order to get an accurate focused ultrasound field distribution. So the investigation following is focused in finding out a filter which can remove most noise in the infrared charts and the distribution of ultrasound filed is not impacted. Experiments compared the effects of different filters by the index of - 6dB width of the temperature rise images. By this index, we can find out a filter which is the most suitable filter for keeping the distribution of focused ultrasound field in steady. All experiments, including simulations, semi-simulations and actual verification experiments used six filte...

This paper introduces a high intensity focused ultrasound system for ablation using switch-mode power amplifiers with harmonic cancellation technique eliminating the 3rdharmonic and all even harmonics. The efficiency of the amplifier is optimized by choosing different parameters of the harmonic cancellation technique. This technique requires double driving signals, and specific signal waveform because of the full-bridge topology. The new FPGA-driven P-HIFU system has 200 channels of phase signals that can form 100 output channels. An FPGA chip is used to generate these signals, and each channel has a phase resolution of 2 ns, less than one degree. The output waveform of the amplifier, voltage waveform across the transducer, shows fewer harmonic components.